Triple

T11062129
Position Surface form Disambiguated ID Type / Status
Subject Badian E261532 entity
Predicate hasAttraction P105 FINISHED
Object Kawasan Falls E228706 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kawasan Falls | Statement: [Badian, hasAttraction, Kawasan Falls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawasan Falls
Context triple: [Badian, hasAttraction, Kawasan Falls]
  • A. Kawasan Falls chosen
    Kawasan Falls is a popular multi-tiered waterfall and swimming spot in the Philippines known for its turquoise waters, lush jungle surroundings, and canyoneering adventures.
  • B. Kempty Falls
    Kempty Falls is a popular cascading waterfall and picnic spot near Mussoorie in the Indian state of Uttarakhand, known for its scenic beauty and cool mountain surroundings.
  • C. Tanda Falls
    Tanda Falls is a scenic waterfall and popular natural getaway located near Mirzapur in Uttar Pradesh, India.
  • D. Nachi Falls
    Nachi Falls is one of Japan’s tallest and most famous waterfalls, revered as a sacred site and scenic highlight near the Kumano Nachi Taisha shrine in Wakayama Prefecture.
  • E. Furepe Falls
    Furepe Falls is a scenic coastal waterfall in Japan’s Shiretoko Peninsula, known for its dramatic drop from seaside cliffs directly into the Sea of Okhotsk and its rich surrounding wildlife.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798eb838c819089a89c55209c0295 completed April 9, 2026, 12:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462d34c0081908067d91c163c118c completed April 19, 2026, 5:06 a.m.
Created at: April 8, 2026, 9:26 p.m.